批次过程控制—回顾与展望

批次过程是一类重要的化工过程.因其本身的灵活性及高效性,被广泛应用于半导体制造、塑料加工、生物制药等领域.针对批次过程控制算法的研究也得到了大批学者的关注.在近三十年中,批次过程控制理论得到了长足的发展.但由于过程本身复杂的动态特性,以及对控制精度要求的提高,现有的理论和方法仍面临着挑战.本文从批次过程的特性出发,分析了算法设计的难点,对几种重要的控制算法进行总结分析,同时讨论了未来可能的发展方向....

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Bibliographic Details
Published in自动化学报 Vol. 43; no. 6; pp. 933 - 943
Main Author 卢静宜 曹志兴 高福荣
Format Journal Article
LanguageChinese
Published 香港科技大学霍英东研究院 香港中国%香港科技大学霍英东研究院 香港中国 2017
香港科技大学化学与生物分子工程学系 香港中国
Subjects
二维时间控制
批次过程
过程控制
迭代学习控制
过程控制
two-time-dimensional (2D) control
process control
iterative learning control (ILC)
Batch process
二维时间控制
批次过程
迭代学习控制
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Summary:批次过程是一类重要的化工过程.因其本身的灵活性及高效性,被广泛应用于半导体制造、塑料加工、生物制药等领域.针对批次过程控制算法的研究也得到了大批学者的关注.在近三十年中,批次过程控制理论得到了长足的发展.但由于过程本身复杂的动态特性,以及对控制精度要求的提高,现有的理论和方法仍面临着挑战.本文从批次过程的特性出发,分析了算法设计的难点,对几种重要的控制算法进行总结分析,同时讨论了未来可能的发展方向.
Bibliography:Batch process; process control; iterative learning control（ILC）; two-time-dimensional（2D） control
Batch process is an important class of chemical processes. Due to its high flexibility and versatility, it has found wide application in industry such as semi-conductor manufacturing, polymer processing, and pharmaceutical production.Meanwhile, efforts have been made in the research on control algorithms for batch processes. In the past 30 years, batch process control has achieved significant developments. However, due to its complexity and increasing requirements on control precision, there are still many challenging problems in this field. In this paper, starting from the nature of batch process, we address the challenges in this field, review the development of control strategies, analyze several classical control algorithms, and discuss the future development of batch process control.
LU Jing-Yi1, CAO Zhi-Xing1, GAO Fu-Rong1,2（ 1. Fok Ying Tung Graduate School, Hong Kong University of Science and Teehnology, Ho
ISSN:0254-4156
1874-1029
DOI:10.16383/j.aas.2017.c170131